Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Wasserstein Generative Learning of Conditional Distribution
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.10039.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T22:14:59.087555Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T22:16:42.691068Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation bd655dab-ad7d-4dab-a49e-80ffeaa9ef42 · inbound
DenoiseRank: Learning to Rank by Diffusion Models cites this paper.
DenoiseRank: Learning to Rank by Diffusion Models Wasserstein Generative Learning of Conditional Distribution
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T22:16:42.694400Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 03f00ddc-40a3-4267-83e7-b2bf770b0e72 · inbound
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions cites this paper.
Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions Wasserstein Generative Learning of Conditional Distribution
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:41:11.996199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bb6b5206-15a7-44c3-ad8d-c6a0b9f224a7 · inbound
Safety Certification is Classification cites this paper.
Safety Certification is Classification Wasserstein Generative Learning of Conditional Distribution
Reference 93
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:56:09.209176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.